Literature DB >> 31878997

[Bioinformatical analysis of correlation between sulfatase-1 (SULF1) and prognosis of colon cancer and underlying mechanisms].

Wei Gong1, Tao Li2.   

Abstract

Objective To explore the role of extracellular secretory protein sulfatase-1 (SULF1) in colon cancer prognosis and immune cell infiltration. Methods SULF1 gene expression level in tumor and normal tissues was identified via Oncomine database and Tumor Immune Estimation Resource (Timer) site. The correlation between SULF1 gene expression level and colon cancer prognosis was obtained by Prognoscan database and Gene Expression Profiling Interactive Analysis (GEPIA). The relationship for SULF1 geneexpression level in colon cancer immune cell infiltration and tumor-associated macrophage surface markers was retrieved by Timer database gene module and gene correlation module. The results were further verified by GEPIA database. Results The results of Timer and Oncomine database analysis indicated that SULF1 was highly expressed in colon cancer. The results of Prognoscan chip GSE17536 and GEPIA database showed that the high expression of SULF1 was positively correlated with the poor prognosis of colon cancer. SULF1 was positively correlated with the infiltration of colon cancer immune cells CD8+ T cells, CD4+ T cells, macrophages, neutrophils and dendritic cells, and not associated with B cells. SULF1 had the strongest positive correlation with macrophages (r=0.628), and the correlation with M2-type macrophages was significantly higher than that with M1-type macrophages. Conclusion SULF1 is highly expressed and positively correlated with poor prognosis in colon cancer. The tumor-associated macrophage infiltration may be one of involved mechanisms.

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Year:  2019        PMID: 31878997

Source DB:  PubMed          Journal:  Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi        ISSN: 1007-8738


  2 in total

1.  A nine-gene signature to improve prognosis prediction of colon carcinoma.

Authors:  Jinlai Zhao; Yigang Wang; Jianchao Gao; Yang Wang; Xuan Zhong; Xiaotang Wu; Hua Li
Journal:  Cell Cycle       Date:  2021-05-14       Impact factor: 4.534

2.  Identification of key genes in cutaneous squamous cell carcinoma: a transcriptome sequencing and bioinformatics profiling study.

Authors:  Dan-Dan Zou; Dan Xu; Yuan-Yuan Deng; Wen-Juan Wu; Juan Zhang; Ling Huang; Li He
Journal:  Ann Transl Med       Date:  2021-10
  2 in total

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